• DocumentCode
    2912155
  • Title

    A robust approach for sensor placement in automated vision dimensional inspection

  • Author

    Gu, Xiangrong ; Marefat, Michael M. ; Ciarallo, Frank W.

  • Author_Institution
    Teradyne Inc., San Jose, CA, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2602
  • Abstract
    Introduces a sensor placement approach for dimensional inspection with active visual inspection systems. For a given set of entities, an effective sensor plan includes parameter values that allow some entities to be observed simultaneously. Two kinds of approaches have generally been used for sensor planning in visual inspection systems: the generate-and-test method and the synthesis method. In order to have high performance and satisfactory accuracy, uncertainty must be considered in the sensing model of the visual system. Furthermore, in order to avoid sharp deterioration of the performance of the visual inspection system for very small disturbances of the parameters, an appropriate definition of robustness is proposed. In an experiment a new sensor planning approach based on robustness resolves some problems with earlier approaches
  • Keywords
    active vision; automatic optical inspection; image sensors; mean square error methods; minimisation; nonlinear programming; accuracy; active visual inspection systems; automated vision dimensional inspection; generate-and-test method; high performance; robust approach; sensor placement; synthesis method; Cameras; Focusing; Image sensors; Industrial engineering; Inspection; Machine vision; Quantization; Robustness; Sensor systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.773989
  • Filename
    773989